iPad13,18
Geekbench AI Score
2735
Single Precision Score
4554
Half Precision Score
3809
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1224
227.7 IPS |
|
|
Image Classification (HP)
|
100% |
1913
355.7 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2176
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5489
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
11231
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9972
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.2 IPS |
|
|
Object Detection (HP)
|
97% |
2164
172.3 IPS |
|
|
Object Detection (Q)
|
94% |
1570
125.2 IPS |
|
|
Face Detection (SP)
|
100% |
2469
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
4622
54.9 IPS |
|
|
Face Detection (Q)
|
100% |
2703
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5046
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9703
75.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6679
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14068
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22926
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
19474
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2999
110.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4023
148.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3063
113.1 IPS |
|
|
Text Classification (SP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3550
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3535
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3181
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3641
62.9 IPS |
